DSpace Repository

Eurographics Digital Library

This is the DSpace 7 platform of the Eurographics Digital Library.

The contents of the Eurographics Digital Library Archive are freely accessible. Only access to the full-text documents of the journal Computer Graphics Forum (joint property of Wiley and Eurographics) is restricted to Eurographics members, people from institutions who have an Institutional Membership at Eurographics, or users of the TIB Hannover. On the item pages you will find so-called purchase links to the TIB Hannover.
As a Eurographics member, you can log in with your email address and password from https://services.eg.org. If you are part of an institutional member and you are on a computer with a Eurographics registered IP domain, you can proceed immediately.
From 2022, all new releases published by Eurographics will be licensed under Creative Commons. Publishing with Eurographics is Plan-S compliant. Please visit Eurographics Licensing and Open Access Policy for more details.

Recent Submissions

Item

1UP Placements Scheme: Simmersive Education for Games Development Professional Skills

(The Eurographics Association, 2025) Headleand, Christopher; James, David; Ward, Davin; Hicks, Kieran; Salinas, Carolina; Nawaz, Raheel; Sheng, Yun; Slingsby, Aidan

This education paper presents the 1UP scheme, an award winning industry simulation. The 1UP scheme provides students with structured studio-style experience within an academic context. Students are directly employed (and paid) by the university in-house games studio for a 6-week summer placement. 1UP facilitates interdisciplinary student teams to develop commercialquality games under professional supervision. This paper outlines the scheme's structure, the design philosophy of the studio, and the educational impact. We detail some case studies of the games we have produced, including 'Disc-Go!', 'StaffsVerse', and the award winning 'MechHead'. These success projects and the student outcomes demonstrate the value of this approach in supporting skill development, portfolio enhancement, and employability. The 1UP model represents a scalable, award-winning approach to bridging the gap between education and industry within games development education.

Item

Run-time Performance Comparison of Sparse-set and Archetype Entity-Component Systems

(The Eurographics Association, 2025) Cox, Louis; Williams, Benjamin; Vickers, James; Ward, Davin; Headleand, Christopher; Sheng, Yun; Slingsby, Aidan

Entity-Component System (ECS) architectures have emerged as a powerful alternative to traditional object-oriented solutions in video games and real-time simulations. However, different ECS implementations present distinct trade-offs between iteration speed and modification costs. Despite its growing adoption, a comparative analysis on the performance characteristics of ECS implementation types has yet to be conducted. This study compares the performance of two widely-used ECS implementations: sparse-set and archetype-based. To facilitate this, an implementation of each architecture was developed in C++20 and their performance was examined in terms of iteration speed and entity modification costs. The results show sparse-set ECSes enable cheaper entity modifications but scale poorly during iteration, while archetypes excel at large-scale iteration through cache efficiency but incur higher composition change costs. These findings provide valuable and actionable guidance for developers selecting ECS architectures for their specific applications.

Item

Social Dimensions in Content Creation for Games: A Systematic Review of Fairness, Social Bias, and Diversity in Computational Character and Environment Generation

(The Eurographics Association, 2025) Horst, Robin; Dörner, Ralf; Sheng, Yun; Slingsby, Aidan

Computational content generation increasingly shapes digital games, visual computing, and interactive environments, automating the creation of characters and environments. However, these systems also raise complex challenges related to fairness, social bias, and representational diversity. We present a systematic literature review of 37 recent studies addressing fairness-aware computational content generation across character creation, face modeling, and procedural environments. We analyze both algorithmic strategies - including deep learning, reinforcement learning, generative adversarial networks, and optimization - as well as design-oriented frameworks such as behavioral, participatory, and cultural methods. Our review reveals substantial conceptual fragmentation in how fairness, social bias, and diversity are defined, measured, and operationalized across domains. While several metrics (e.g., statistical parity, balanced accuracy, generative diversity scores) are applied, standardized computational frameworks and large-scale auditing tools remain largely absent. We conclude by outlining key research challenges, including metric standardization, scalable fairness, social bias, and diversity auditing, cross-cultural dataset development, and interdisciplinary collaboration, to advance aware content generation in games.

Item

GPU-accelerated Cartoon Representation for Interactive Flexible Docking

(The Eurographics Association, 2025) Holdsworth, Katerina R.; Iakovou, Georgios; Hayward, Steven; Laycock, Stephen D.; Sheng, Yun; Slingsby, Aidan

Molecular docking involves simulating the binding of two biomolecules, a receptor and ligand, and is widely used for structurebased drug design. There are two main types of docking tools: automated and interactive. While automated tools are useful for reducing the search space of ligands and identifying potential binding sites, interactive tools allow the user to guide the docking process and observe what happens during docking. High computation speeds are required for interactive docking to handle both protein deformation and user interaction in real time. The cartoon representation, not to be confused with cartoon style rendering, is a protein representation that shows an abstracted view and is frequently used by structural biologists to not only identify a protein, but also to identify key regions within a protein of interest. There are examples of GPU-accelerated methods to construct the cartoon representation in real time. However, none of these methods achieve real-time assignment of secondary structure and construction of the cartoon representation for a flexible molecule. This paper presents our method to achieve this, integrated into an interactive docking tool with receptor flexibility. The methods outlined in this paper produced some promising results, with proteins of up to 3,300 amino acid residues being constructed and rendered at 70 fps.

Item

Mind-Mapping Data Analysis with LLMs: From Vision to First Steps

(The Eurographics Association, 2025) Jianu, Radu; Hutchinson, Maeve; Andrienko, Natalia; Andrienko, Gennady; Elshehaly, Mai; Slingsby, Aidan; Sheng, Yun; Slingsby, Aidan

We explore how large language models (LLMs) can support real-time visual mapping of data analysis workflows. Building on an earlier vision, we investigate if and how LLMs can decompose analytic dialogues into ''analysis maps'' that capture key semantic units such as questions, datasets, tasks, and findings. Using two exemplar analyses, we test both post-hoc and interactive strategies for generating these maps and experiment with prompting techniques for structuring and updating them. Results, documented in Observable notebooks, suggest that LLMs can scaffold analysis-as-network meaningfully-laying the groundwork for user-facing systems and moving beyond purely textual forms of LLM-mediated analysis.